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Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application

  • Thomas Kühne
  • Heiko HamannEmail author
  • Svetlana Arifulina
  • Gregor Engels
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9594)

Abstract

We apply methods of genetic programming to a general problem from software engineering, namely example-based generation of specifications. In particular, we focus on model transformation by example. The definition and implementation of model transformations is a task frequently carried out by domain experts, hence, a (semi-)automatic approach is desirable. This application is challenging because the underlying search space has rich semantics, is high-dimensional, and unstructured. Hence, a computationally brute-force approach would be unscalable and potentially infeasible. To address that problem, we develop a sophisticated approach of designing complex mutation operators. We define ‘patterns’ for constructing mutation operators and report a successful case study. Furthermore, the code of the evolved model transformation is required to have high maintainability and extensibility, that is, the code should be easily readable by domain experts. We report an evaluation of this approach in a software engineering case study.

Keywords

Model transformations Mutation operators Software engineering 

Notes

Acknowledgment

This work was partially supported by the German Research Foundation (DFG) within the Collaborative Research Centre ‘On-The-Fly Computing’ (SFB 901).

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Thomas Kühne
    • 1
  • Heiko Hamann
    • 2
    Email author
  • Svetlana Arifulina
    • 1
  • Gregor Engels
    • 1
  1. 1.Department of Computer ScienceUniversity of PaderbornPaderbornGermany
  2. 2.Heinz Nixdorf Institute, Department of Computer ScienceUniversity of PaderbornPaderbornGermany

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